Theresa A. Koleck

Assistant Professor
Health Promotion & Development


Dr. Koleck’s program of research is dedicated to mitigating symptom burden in patients diagnosed with chronic conditions using omics-based approaches and informatics/data science techniques, including clinical data mining, natural language processing, unsupervised machine learning, and data visualization. Currently, Dr. Koleck is developing a pipeline for characterization of symptom clusters in chronic conditions using both structured (i.e., diagnosis codes) and unstructured (i.e., clinical notes) electronic health record data. This work represents the essential first step toward future biomarker discovery and clinical application to alleviate symptom burden.  As a highly specialized nurse scientist trained in genomics and biomedical informatics, Dr. Koleck is at the forefront of advancing symptom science for chronic conditions through novel synergy of symptoms, omics, and informatics.

Scholarly Emphasis

Clinical data mining
Electronic health records
Natural language processing
Chronic conditions


Nursing informatics
Nursing Research


Dr. Koleck is a member of the American Medical Informatics Association (AMIA), the International Society of Nurses in Genetics (ISONG), and the Sigma Theta Tau International Honor Society of Nursing.  Dr. Koleck has served as the Research Committee Chair for Sigma Theta Tau International Honor Society of Nursing, Eta Chapter since 2017.  She was the Co-chair of the 2022 ISONG Congress Planning Committee.  Additionally, Dr. Koleck was recently appointed as an All of Us Research Program Researcher Ambassador.